1 Pavement Performance Data Abstract 1.1 Introduction 1.2 Pavement Performance Indices 1.2.1 Development of Pavement Performance Indices 1.2.2 Pavement Performance Indices in China 1.3 Pavement Management System 1.4 Pavement Performance Models 1.4.1 Classic Pavement Performance Models 1.4.2 Time-Performance Models 1.5 The LTPP Database 1.5.1 The LTPP program 1.5.2 Asphalt Pavement Performance Data in LTPP 1.6 Data Analysis in Pavement Engineering 1.6.1 An Overview 1.6.2 Machine Learning Methods 1.6.3 Summary Questions References 2 Fundamentals of Statistics Abstract 2.1 Introduction 2.2 Random Variables 2.2.1 Discrete Random Variables 2.2.2 Continuous Random Variables 2.2.3 Joint Distribution 2.3 Statistical Descriptions of Data 2.3.1 Sampling Methods 2.3.2 Numerical Summaries 2.3.3 Graphical Summaries 2.3.4 Covariance and Correlation 2.4 Functions of Normal Distributions 2.4.1 Distributions of the Sample Mean and Variance 2.4.2 Comparison of Two Sample Means and Variance 2.5 Statistical Inference 2.5.1 Point Estimate 2.5.2 Interval Estimate 2.6 Hypothesis Tests 2.6.1 Concepts and Procedures 2.6.2 One-Tailed and Two-Tailed Tests 2.6.3 Tests for One Sample 2.6.4 Tests for Two Samples 2.6.5 Proportion Tests 2.7 Case : Significance Test of Concrete Strength 2.7.1 Background and Data 2.7.2 Discussion of Results Questions References 3 Design of Experiments Abstract 3.1 Introduction 3.1.1 Design of Experiments 3.1.2 Analysis of Variance 3.2 Design of Experiments 3.2.1 Definition 3.2.2 Principles 3.2.3 Types of Experimental Designs ���� 4 Regression 5 Logistic Regression 6 Count Data Model 7 Survival Analysis 8 Time Series 9 Stochastic Process 10 Decision Trees and Ensemble Learning 11 Neural Networks 12 Support Vector Machine and k-Nearest Neighbors 13 Principal Component Analysis 14 Factor Analysis 15 Cluster Analysis 16 Discriminant Analysis 17 Structural Equation Model 18 Markov Chain Monte Carlo About the Author